ABSTRACT:

The Paired Air and Stream Temperature Analysis (PASTA) web application allows users to calculate and plot metrics from paired air and stream temperature annual signal analysis or linear regression, which can help to inform hydrologic processes of a stream reach. Users can upload their stream temperature data or select from specific publically-available data sources (e.g. NWIS or HydroShare) and then compare these stream temperatures to available air temperature data within North America or upload their air temperature data.

ABSTRACT:

Data associated with the manuscript Hare et al. (in preparation): Paired Air and Stream Temperature Analysis (PASTA) to Evaluate Groundwater Influence on Streams.

ABSTRACT:

Stream temperature data collected across the Coweeta Creek Watershed 2017 -2019. Associated geospatial data for each station sampling location is included. We have included subsetted and cleaned air temperature from the CS01 MET station collected by Southern Research Station, USDA Forest Service with the National Weather Service (Miniat et al. 2015) to facilitate conducting paired air and stream temperature analysis.

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Quashnet River, Cape Cod, Massachusetts, USA, stream temperature data from five locations, collection dates ranging from 2000 - 2018.

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The data within are the results of twelve 60-d litterbag incubations in 20 headwater streams across seasonal and landscape temperature gradients in the southern Appalachian Mountains (USA) for both a recalcitrant (Rhododendron maximum) and a labile (Acer rubrum) leaf species. These data were used to compare temperature dependence (as activation energy, Ea) between microbial and detritivore breakdown. These data are presented within Cummins et al. under review in Ecology as of May 2023.

ABSTRACT:

All raw data used within Cummins et al. under review in Ecology as of May 2023.
Also included is the single processed data frame for all the Coweeta leaf litter serial incubations data - temperature, discharge, nutrients, and litter breakdown. Steps for post-processing are included within the following HydroShare Resource: Cummins, C. (2023). Serial Litter Incubations Data Analysis, HydroShare, http://www.hydroshare.org/resource/2a30cfe2a9d742948b742008a9abede2

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The data and data analysis steps used in the analysis and figures presented in Cummins et al. under review. All files and readme files required to execute the workflow are contained within the zipped folder.

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The data and code used for analysis within Hare et al. (under review) in Limnology and Oceanography Letters.

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The organic carbon data are from 22 headwater streams across seasonal and landscape temperature gradients in the southern Appalachian Mountains (USA) from 2017 to 2019. These data include litterfall measurements, lateral leaf litter inputs, instream standing stock measurements from both transect methods and benthic core samples, and dissolved organic carbon groundwater seeps.

ABSTRACT:

Using stream network models, we evaluated the effects of future climate warming; streams fed by shallow or minimal groundwater had strongly depleted leaf litter during summer, emphasizing the importance of deep groundwater thermal inputs for the stability and resilience of forest stream ecosystems. The following contains the data analysis for stream network modelling component.